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techniques have been demonstrated to enable spin-wave imaging with spatial resolution down to 50 nm with excellent signal to noise ratio. The PhD/postdoc will focus on investigating unexplored spin-wave
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defenses, and to identify new control strategies. The project requires excellent skills in cellular and molecular virology, while integrating through interdisciplinary collaborations the anthropic and
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following expertise: Early fly and mouse development Quantitative imaging and image analysis Statistical physics and data analysis Microscope design and control Genomic and genetic tool design Candidates
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data. 2 Postdoc Subject The main goal of this postdoc is to develop open-world 3D scene understanding models through the fusion of LiDAR-based models and VLM. This goal can be achieved by solving
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configurations. Exploring these vast and heterogeneous design spaces is computationally demanding, often requiring costly simulations and automated optimization loops to efficiently navigate trade-offs and
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. To go further in this context of model-based optimal transport (MBOT), the purpose of this Ph.D. (or postdoc) position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused
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, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in acquiring third party funding in the relevant fields of data science
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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integration, selection and automated use by the bot: (1) We propose to identify and implement a library of tools to perform important generic tasks on the knowledge graph including: name-entity recognition
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain